Garbage in, garbage out: mitigating risks and maximizing benefits of AI in research

被引：16

作者：

Hanson, Brooks ^{[1
]}

Stall, Shelley ^{[2
]}

Cutcher-Gershenfeld, Joel ^{[3
]}

Vrouwenvelder, Kristina ^{[2
]}

Wirz, Christopher ^{[4
]}

Rao, Yuhan ^{[5
]}

Peng, Ge ^{[6
]}

机构：

[1] Amer Geophys Union, Sci, Washington, DC USA

[2] Amer Geophys Union, Open Sci, Washington, DC 20009 USA

[3] Brandeis Univ, Heller Sch Social Policy & Management, Waltham, MA USA

[4] Natl Ctr Atmospher Res NCAR, Boulder, CO USA

[5] North Carolina State Univ, North Carolina Inst Climate Studies, Asheville, NC USA

[6] Univ Alabama Huntsville, Earth Syst Sci Ctr, NASA MSFC IMPACT, Huntsville, AL USA

来源：

NATURE | 2023年 / 623卷 / 7985期

关键词：

Computer science; Technology; Policy;

D O I：

10.1038/d41586-023-03316-8

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Artificial-intelligence tools are transforming data-driven science - better ethical standards and more robust data curation are needed to fuel the boom and prevent a bust. Artificial-intelligence tools are transforming data-driven science - better ethical standards and more robust data curation are needed to fuel the boom and prevent a bust.

引用

页码：28 / 31

页数：4

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